Ming-Hsiu Lee
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Polymers and Plastics
- Artificial Intelligence
- Computer Networks and Communications
- Co-authors
- Hsiang-Lan LungYu‐Yu LinErh-Kun LaiYen-Hao ShihJean Jordan‐SweetMartin SalingaSimone RaouxYi‐Chou Chen
- Topics
- Advanced Memory and Neural Computing (28 papers)Ferroelectric and Negative Capacitance Devices (15 papers)Advanced Data Storage Technologies (10 papers)
- Journals
- IEEE Journal of Solid-State CircuitsIEEE Transactions on Electron DevicesJapanese Journal of Applied Physics
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Ming-Hsiu Lee
35 papers receiving 394 citations
Peers
Comparison fields: 5 of 37
- Electrical and Electronic Engineering 334
- Materials Chemistry 170
- Polymers and Plastics 59
- Artificial Intelligence 44
- Computer Networks and Communications 36
Countries citing papers authored by Ming-Hsiu Lee
This map shows the geographic impact of Ming-Hsiu Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming-Hsiu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Hsiu Lee more than expected).
Fields of papers citing papers by Ming-Hsiu Lee
This network shows the impact of papers produced by Ming-Hsiu Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming-Hsiu Lee. The network helps show where Ming-Hsiu Lee may publish in the future.
Co-authorship network of co-authors of Ming-Hsiu Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Hsiu Lee. A scholar is included among the top collaborators of Ming-Hsiu Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming-Hsiu Lee. Ming-Hsiu Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | A Hybrid In-Memory-Searching and In-Memory-Computing Architecture for NVM Based AI Accelerator | 3 |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 18 | |
| 20 | 3 |
About Ming-Hsiu Lee
Ming-Hsiu Lee is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Polymers and Plastics, having authored 41 papers that have together received 402 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (15 papers) and Advanced Data Storage Technologies (10 papers). The work is most often cited by research in Electrical and Electronic Engineering (334 citations), Hardware and Architecture (34 citations) and Polymers and Plastics (59 citations). Ming-Hsiu Lee has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Hsiang-Lan Lung, Yu‐Yu Lin, Erh-Kun Lai, Yen-Hao Shih, Jean Jordan‐Sweet, Martin Salinga, Simone Raoux, Yi‐Chou Chen, R. M. Shelby and Chih‐Yuan Lu. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices and Japanese Journal of Applied Physics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.